Abstract
Based on Newton’s law of cooling, Kaveh and Dadras [1] introduced a new metaheuristic named Thermal Exchange Optimization (TEO) algorithm. TEO is in early stages of its use and is utilized to solve a few structural optimization problems [2, 3]. Newton’s law of cooling states that the rate of heat loss of a body is proportional to the difference in temperatures between the body and its surroundings. TEO considers each of its particles as a cooling or heating object, and by associating another agent as the environment, a heat transferring and thermal exchange happens between them. The new temperature of the object is considered as its next position in the search space.
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References
Kaveh A, Dadras A (2017) A novel meta-heuristic optimization algorithm: thermal exchange optimization. Adv Eng Softw 110:69–84
Kaveh A, Dadras A (2018) Structural damage identification using an enhanced thermal exchange optimization algorithm. Eng Optim 50:430–451
Kaveh A, Dadras A, Bakhshpoori T (2018) Improved thermal exchange optimization algorithm for optimal design of skeletal structures. Smart Struct Syst 21:263–278
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Kaveh, A., Bakhshpoori, T. (2019). Thermal Exchange Optimization Algorithm. In: Metaheuristics: Outlines, MATLAB Codes and Examples. Springer, Cham. https://doi.org/10.1007/978-3-030-04067-3_15
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DOI: https://doi.org/10.1007/978-3-030-04067-3_15
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